0000000000567982

AUTHOR

Emanuele Olivetti

showing 2 related works from this author

Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation

2001

The distribution of atrial electrogram types has been proposed to characterise human atrial fibrillation. The aim of this study was to provide computer procedures for evaluating the local organisation of intracardiac recordings during AF as an alternative to off-line manual classification. Principal components analysis (PCA) reduced the data set to a few representative activations, and cluster analysis (CA) measured the average dissimilarity between consecutive activations of an intracardiac signal. The data set consisted of 106 bipolar signals recorded on 11 patients during electrophysiological studies for catheter ablation. Performances of PCA and CA in distinguishing between organised (t…

medicine.medical_treatmentBiomedical EngineeringPrincipal component analysiCatheter ablationDisease clusterIntracardiac injectionElectrocardiographyComputer analysismedicineCluster AnalysisHumansCluster analysimedicine.diagnostic_testbusiness.industrySignal Processing Computer-AssistedComputer Science Applications1707 Computer Vision and Pattern RecognitionAtrial fibrillationPattern recognitionmedicine.diseaseAtrial fibrillationComputer Science ApplicationsData setPrincipal component analysisCatheter AblationArtificial intelligencebusinessElectrocardiographyBiomedical engineeringMedical and Biological Engineering and Computing
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Local electrical characterisation of human atrial fibrillation

2002

The rate of success of radio-frequency catheter ablation in the treatment of atrial fibrillation may be significantly improved by evaluating the local electrical properties of the atrial tissue. The aim of this study is the development of an automatic procedure for the characterisation of the local electrical activity during atrial fibrillation and the comparison of its performance with the manual analysis. The adopted procedures were the semi-automatic measurement of the local fibrillation intervals (A-A intervals) and the manual electrogram classification following the criteria suggested by Wells (1978) or Konings (1997). Two methods have been used: Principal Component Analysis and Cluste…

Fibrillationmedicine.medical_specialtymedicine.diagnostic_testbusiness.industrymedicine.medical_treatmentComputer Science Applications1707 Computer Vision and Pattern RecognitionAtrial fibrillationCatheter ablationAtrial tissuemedicine.diseaseInternal medicineSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaClinical valueCardiologyMedicinemedicine.symptomCardiology and Cardiovascular MedicinebusinessElectrocardiographyComputers in Cardiology 2000. Vol.27 (Cat. 00CH37163)
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